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Gemma 3n E4B Instructed vs Phi 4 Mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemma 3n E4B Instructed supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3N E4B IT was created as the instruction-tuned version of Gemma 3N E4B, designed to combine improved capability with edge optimization. Built for applications requiring both responsive instruction-following and edge-friendly efficiency, it serves as a stronger option for on-device AI assistants.
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Microsoft
Phi-4 Mini was created as an even more compact variant of Phi-4, designed to bring fourth-generation capabilities to the smallest possible footprint. Built for extreme efficiency scenarios, it enables AI capabilities on devices and applications where resources are severely constrained.
4 months newer
Phi 4 Mini
Microsoft
2025-02-01
Gemma 3n E4B Instructed
2025-06-26
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemma 3n E4B Instructed
Average Score:51.6%
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Phi 4 Mini
Average Score:52.3%(+0.8%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
2024-06-01
Phi 4 Mini
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E4B Instructed
1 providers
Together
Throughput: 42.09 tok/s
Latency: 0.43ms
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Phi 4 Mini
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Gemma 3n E4B Instructed
Avg Score:51.6%
Providers:1
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Phi 4 Mini
Avg Score:52.3%(+0.8%)
Providers:0